Senior Manager, Machine Learning Engineering

About The Team

Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.

About The Role

We are seeking a highly skilled and visionary Senior Manager to lead the development of AI agents for our HR and Finance business. You will be responsible for building and mentoring a high-performing engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions that seamlessly integrate with our Workday ecosystem and deliver outstanding experiences for our customers.

Responsibilities

• Build, lead, and mentor a team of exceptional AI agent engineers.
• Ensure timely project delivery to exceptional standards of our AI agents.
• Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions
• Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
• Foster a culture of innovation, collaboration and continuous improvement and learning.
• Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph)
• Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
• Ensure all AI solutions adhere to data privacy, security, and compliance standards
• Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
• Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.

Basic Qualifications

• 5+ years of experience in software engineering leadership, with a strong focus on AI/ML and cloud-based systems.
• 10+ years of experience with design and development for mission critical systems at scale

Other Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI
• Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
• Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
• Strong problem-solving, communication, and collaboration skills.
• Experience with the Workday platform is a strong plus.